Results 181 to 190 of about 66,786 (305)
Fast Estimation and Valid Statistical Inference for Mixed-Effect Location-Scale Models Using Variational Inference. [PDF]
Wu BP, Hedeker D.
europepmc +1 more source
We decode mitochondrial genomes across all extant canids, revealing lineage‐specific codon optimization driven by altitude, predation, and body size. A tripartite framework integrates geological events, metabolic constraints, and adaptive radiation to explain carnivore evolution.
Xiaoyang Wu +8 more
wiley +1 more source
Scaling up Bayesian population phylogenomics through virtual dimension reduction. [PDF]
Flouri T +4 more
europepmc +1 more source
This study presents the first genomic identification and characterization of ZW sex chromosomes in two soft‐shelled turtle species through genome assembly and resequencing. We reveal the structural organization of ZW chromosomes, identifying both pseudoautosomal regions (PARs) and differentiated regions.
Jianjun Liu +9 more
wiley +1 more source
MCMC Correction of Score-Based Diffusion Models for Model Composition. [PDF]
Sjöberg A +4 more
europepmc +1 more source
ESTIMATING SINGLE FACTOR JUMP DIFFUSION INTEREST RATE MODELS [PDF]
Recent empirical studies have demonstrated that behaviour of interest rate processes can be better explained if standard diffusion processes are augmented with jumps in the interest rate process.
Ghulam Sorwar
core
Sex Role–Dependent Behavioral and Architectural Divergence in a Jumping Spider
The graphical abstract contrasts sex‐equivalent cognition (route‐planning & memory) with female‐biased nest architecture. Both sexes perform similarly in cognitive tests, but females build complex, geometry‐matching nests while males make simple shelters.
Yirong Wang +4 more
wiley +1 more source
Bayesian design and analysis of two-arm cluster randomised trials using assurance: Extension to binary outcomes and comparison of Markov chain Monte Carlo and Integrated Nested Laplace Approximations. [PDF]
Aloufi A +4 more
europepmc +1 more source
The Rasch sampler is an efficient algorithm to sample binary matrices with given marginal sums. It is a Markov chain Monte Carlo (MCMC) algorithm. The program can handle matrices of up to 1024 rows and 64 columns. A special option allows to sample square
Norman Verhelst +2 more
core
Filtering—estimating the state of a partially observable Markov process from a sequence of observations—is one of the most widely studied problems in control theory, AI, and computational statistics.
Bhaskara Marthi Hanna Pasula
core

